Вакансии

Задачи: — Улучшение текущих моделей и обучение новых, включая классификаторы, генеративные модели, сложные сценарии на основе агентов и пайплайнов. — Сбор и анализ данных для дообучения, обучение с использованием SFT- и RL-подходов. — Быстрая разработка прототипов и MVP для новых проектов, с фокусом на агентах и RAG для обработки большого контекста. — Автоматизация валидации ML-моделей, внедрение систем автоматической оценки качества моделей в продакшен. Требования: — Опыт в машинном обучении. — Хорошее знание Python. — Уверенное владение классическими алгоритмами и моделями. — Глубокие знания в NLP и LLM. Будет плюсом: — Опыт работы с агентами и RAG-пайплайнами. Условия: — Расширенная медицинская страховка с первого месяца, включая стоматологию, ежегодные чекапы, неотложную помощь за рубежом, лечение критических заболеваний и страхование от несчастных случаев. — Психотерапия в офисе или онлайн. — Лазерная коррекция зрения через год работы. — Ведение беременности и роды через два года. — Страховка для родственников по системе 80/20 (80% оплачивает компания). — Внутренняя образовательная платформа, менторство, программы для руководителей. — Оплата участия в профильных конференциях. — Внутренние проекты для обмена экспертизой. — Гибкий график без фиксированного времени начала и конца рабочего дня. — Льготные жилищные займы для сотрудников российских офисов. — Программы поддержки для детей: страхование, детские дни в офисе, подарки на рождение, чекапы при планировании беременности.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems. The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration. You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX. WHAT YOU'LL DO - Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadence - Build automation for endpoint security agent remediation across EDR, DLP, VPN, and similar tooling — detecting missing, stale, or unhealthy agents and bringing devices back into compliance - Maintain device configuration baselines as code, including drift detection and hardening standards - Configure authentication and authenticator policies in Okta: SSO, MFA and authenticator enrollment, device trust, and conditional access - Remediate identity posture gaps surfaced by ISPM tooling: stale accounts, orphaned service principals, over-scoped OAuth grants, MFA gaps, and excess privileges - Implement and operate controls for enterprise AI usage, including identity-aware access, logging and retention, DLP where appropriate, and enforcement - Automate across these platforms using their APIs, build reporting on control coverage, and document how the controls you build are operated WHAT YOU NEED - 3–5 years of experience in Client Platform Engineer/Endpoint Engineering, Identity Access & Management, or Corporate Security - Hands-on macOS management at scale: MDM (Jamf, Fleet, Kandji, or equivalent) and macOS update mechanisms - Working knowledge of an identity provider (Okta or similar): SSO, authentication and authenticator policies, SCIM provisioning, and conditional access - Scripting ability in Python, Go, or Bash, and experience automating against platform APIs - Experience with EDR and endpoint vulnerability management (CrowdStrike or similar) - Ability to evaluate tradeoffs between technical enforcement, policy, and user friction, and to explain those tradeoffs clearly NICE TO HAVE - osquery and Fleet, or other query-based fleet visibility tooling - Identity posture management (ISPM) tooling, or access review and governance platforms - Cloudflare Zero Trust, or other proxy, DNS, or network-layer enforcement, including TLS inspection - Exposure to AI and LLM security concerns: agent authorization, tool calls, model gateways, data leakage through AI tooling - Infrastructure-as-code and CI/CD experience (Terraform, GitHub Actions) - Windows fleet management alongside macOS - Compliance frameworks (SOC 2, PCI) as they apply to endpoints and access BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States Artificial Intelligence Engineer - Assistant Vice President About the Role iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform. Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $120,000 to $170,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation? Why San Diego Studio? We are the team behind MLB The Show, a critically acclaimed AAA sports franchise developed for PlayStation, Xbox, and Nintendo platforms. Our focus is on delivering innovative, high-quality gaming experiences – and we’re looking for a Sr Programmer to help build, package, and ship the game on every platform we support. The ideal candidate possesses strong problem-solving abilities, sharp attention to detail, and thrives both independently and in collaborative, cross-functional teams. They are a versatile generalist who is as comfortable owning a build and data-packaging pipeline as they are bringing the engine up on new hardware or diving into low-level systems to track down a crash or reclaim memory. They enjoy the planning side of the work: scoping infrastructure changes, sequencing a platform or SDK migration so the team is never blocked, and modernizing tools and systems that have grown over many years. Not only does this person have a strong understanding of how large codebases are built, shipped, and maintained, they are also comfortable with the system-level aspects of the target hardware they’re working on when transitioning to new platforms. Key Responsibilities: • Develop, optimize, and maintain the cross-platform build and data-packaging pipeline that turns our game into shippable products across all our supported platforms, current and future. • Bring the engine up on new platforms and drive platform SDK upgrades, resolving the low-level and system-level issues that come with them (toolchains, file systems, memory and address-space behavior, boot and packaging requirements). • Identify and resolve crashes, out-of-memory conditions, and stability issues across a broad range of hardware, from high-end consoles to memory-constrained mobile devices. • Build, package, harden, and release our mobile (Android and iOS) products, and keep the associated build automation healthy. • Own and evolve the studio’s internal tools – data packaging, memory tracking, metrics and profiling – that the wider team relies on every day. • Plan and lead the modernization of long-lived build systems, toolchains, and infrastructure. • Manage branch integration and keep builds flowing across mainline, staging, production, and patch branches in collaboration with engineering, QA, and production teams. Required Qualifications : • Bachelor’s degree in computer science, mathematics, or a related technical field or equivalent. • 5+ years of experience programming in C++ with a focus on performance-critical and system level application. • Strong experience with development and release of one or more AAA titles. • Demonstrated ability to work effectively across many unfamiliar systems rather than within a single specialty. • Strong debugging and problem-solving skills on hard, intermittent, and low-level issues (memory management, crashes, toolchain and SDK behavior). • Experience with build systems, packaging and deployment pipelines, and build automation (e.g. Jenkins, MSBuild, gradle, and shell/batch scripting). • Comfort at a low level: memory management, pointers and address spaces, compiler and linker flags, and optimization behavior. • Hands-on experience with Visual Studio, Perforce, and other standard development tools. • Working proficiency in C# for tools and pipeline development. Preferred Qualifications : • Experience developing and shipping on console platforms (PlayStation, Xbox, and/or Nintendo Switch), including platform SDKs and certification/packaging requirements. • Experience shipping mobile titles (Android/iOS): NDK, app-bundle and store submission, code obfuscation and app hardening, and crash reporting. • Experience developing internal developer tools with graphical front-ends (e.g. C#/WinForms). • Familiarity with scripting languages like Python is a plus. • Exposure to graphics/rendering concepts, in particular how rendering features fit within platform memory and performance budgets (desired but not required). At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $138,700 — $208,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an FP&A Manager to serve as the finance business partner to our rapidly growing Wholesale organization. In this role, you will partner closely with Wholesale leadership to drive forecast accuracy, inform key commercial decisions, and improve the efficiency and profitability of the channel through disciplined financial planning, margin management, and analysis. You will bring together detailed financial modeling and strategic thinking to provide greater visibility into business performance while helping strengthen the finance infrastructure and processes that support the continued growth of Wholesale at WHOOP. RESPONSIBILITIES: - Serve as the Finance business partner to the Wholesale organization, providing actionable financial and strategic insights to drive growth, efficiency, and profitability - Own and enhance financial planning, budgeting, forecasting, and re-forecasting for Wholesale, including revenue, units, gross margin, and key operational drivers across retailers and products - Drive forecast accuracy and accountability by identifying key variances, risks, and opportunities and translating evolving business performance into an updated financial outlook - Own and optimize wholesale margin management and channel economics, maintaining visibility into retailer profitability and identifying opportunities to improve financial performance - Leverage and refine financial models and analytical frameworks to inform key commercial decisions, including new retailer partnerships, geographic expansion, pricing and promotions, and assortment strategy - Support the transition to an EPM system and continued maturation of core finance infrastructure, implementing process and reporting improvements that increase scalability, accuracy, and structure as the business grows QUALIFICATIONS: - 5+ years of progressive experience in FP&A, strategic finance, investment banking, consulting, or another highly analytical finance role - Strong financial modeling and forecasting skills, with demonstrated ability to translate business performance into forward-looking plans and actionable insights - Strong understanding of revenue, gross margin, and channel economics, including the impact of pricing, product mix, promotions, and other drivers of profitability - Advanced proficiency in Microsoft Excel or Google Sheets; experience with EPM systems, SQL, Python, or other analytical tools is a plus - Strong analytical and commercial judgment, with the ability to identify key business drivers, evaluate tradeoffs, and inform complex decisions - Highly effective, unbiased communicator with the ability to adapt communication style to different audiences. Can articulate complex data clearly to a diverse range of stakeholders. - Highly proactive and self-motivated, with a strong sense of ownership and able to identify opportunities, take initiative, and drive projects forward. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$190,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Palo Alto ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   Mistral is seeking Research Engineer - Full Stack to facilitate the adoption of its products among internal stakeholders and collaborate with them to address complex technical challenges.   What You Will Do   • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to continuously improve our product and model capabilities based on internal feedback.   WHAT WE'RE LOOKING FOR   • You are fluent in English • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 2+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Требования: — знание SQL, Power BI, Oracle, Python — опыт работы в данном направлении от 2-х и более лет — знание продуктовых методов, опыт расчета бизнес-кейсов — умение видеть за числами действия реальных пользователей и объяснить, почему изменилось их поведение — проактивный подход в решении задач: способность самостоятельно разобраться в любой ситуации, задать правильные вопросы, собрать необходимую информацию и сделать выводы для принятия наилучшего решения Задачи: — анализировать источники данных — строить воронки продаж — собирать требования для построения консолидированных витрин с аналитическими данными — проводить А/Б тесты — строить регулярную отчетность и дашборды для цифровой платформы банка — рассчитывать бизнес-кейсы — проверять гипотезы

Компания МТС Банк, одно из ключевых направлений экосистемы МТС, ищет Продуктового аналитика в кластер Daily Banking. В рамках кросс-функционального проекта, направленного на амбициозный рост клиентской базы за счёт продуктовых и маркетинговых инициатив, аналитик будет единым источником правды и драйвером новых идей на основе данных. Роль предполагает самостоятельное формулирование метрик, оценку эффекта и приоритизацию инициатив. Требования: — уверенное владение SQL — Python для анализа данных — реальный опыт исследований, проведения экспериментов, построения метрик — продуктовое мышление: интерпретация бизнес-результата через метрики, способность видеть общую картину как РО Желательно: — опыт в финтехе и продуктах с большой пользовательской базой — базовое понимание маркетинга Обязанности: — сводить инициативы разных команд к общей рамке: единые метрики, понятие «успеха», прозрачная оценка вклада в рост базы — приоритизировать поток гипотез по потенциальному влиянию, а не по громкости заказчика — строить сквозную аналитику от привлечения до активации клиента, искать блокеры в CJM — выполнять статистическую оценку инициатив и оценивать их вклад в ключевую метрику (PSM, A/B) — доводить выводы до решений

Требования: — знание SQL, Power BI, Oracle, Python — опыт работы в данном направлении от 2-х и более лет — знание продуктовых методов, опыт расчета бизнес-кейсов — умение видеть за числами действия реальных пользователей и объяснить, почему изменилось их поведение — проактивный подход в решении задач: способность самостоятельно разобраться в любой ситуации, задать правильные вопросы, собрать необходимую информацию и сделать выводы для принятия наилучшего решения Задачи: — анализировать источники данных — строить воронки продаж — собирать требования для построения консолидированных витрин с аналитическими данными — проводить А/Б тесты — строить регулярную отчетность и дашборды для цифровой платформы банка — рассчитывать бизнес-кейсы — проверять гипотезы

Компания МТС Банк, одно из ключевых направлений экосистемы МТС, ищет Продуктового аналитика в кластер Daily Banking. В рамках кросс-функционального проекта, направленного на амбициозный рост клиентской базы за счёт продуктовых и маркетинговых инициатив, аналитик будет единым источником правды и драйвером новых идей на основе данных. Роль предполагает самостоятельное формулирование метрик, оценку эффекта и приоритизацию инициатив. Требования: — уверенное владение SQL — Python для анализа данных — реальный опыт исследований, проведения экспериментов, построения метрик — продуктовое мышление: интерпретация бизнес-результата через метрики, способность видеть общую картину как РО Желательно: — опыт в финтехе и продуктах с большой пользовательской базой — базовое понимание маркетинга Обязанности: — сводить инициативы разных команд к общей рамке: единые метрики, понятие «успеха», прозрачная оценка вклада в рост базы — приоритизировать поток гипотез по потенциальному влиянию, а не по громкости заказчика — строить сквозную аналитику от привлечения до активации клиента, искать блокеры в CJM — выполнять статистическую оценку инициатив и оценивать их вклад в ключевую метрику (PSM, A/B) — доводить выводы до решений

Требования: — знание SQL, Power BI, Oracle, Python — опыт работы в данном направлении от 2-х и более лет — знание продуктовых методов, опыт расчета бизнес-кейсов — умение видеть за числами действия реальных пользователей и объяснить, почему изменилось их поведение — проактивный подход в решении задач: способность самостоятельно разобраться в любой ситуации, задать правильные вопросы, собрать необходимую информацию и сделать выводы для принятия наилучшего решения Задачи: — анализировать источники данных — строить воронки продаж — собирать требования для построения консолидированных витрин с аналитическими данными — проводить А/Б тесты — строить регулярную отчетность и дашборды для цифровой платформы банка — рассчитывать бизнес-кейсы — проверять гипотезы

Требуется специалист с хорошим знанием Python (Pandas, Numpy, MatPlotLib и другие аналитические библиотеки), отличным знанием SQL (Postgre с умением написания оконных функций), опытом построения отчетности (PowerBI предпочтительно), уверенным знанием Excel (ВПР, Сводные таблицы и пр.). Опыт работы в антифрод-аналитике или риск-менеджменте является преимуществом. Понимание алгоритмов ML также является плюсом. Задачи: — разрабатывать и выгружать обязательную отчетность для Центрального Банка РФ; — подготавливать аналитические отчеты и дашборды для смежных подразделений компании; — участвовать в модернизации и настройке систем мониторинга транзакций (антифрод-систем).

Компания ООО «Блокчейн Хаб» (часть экосистемы МТС) разрабатывает финтех-продукты на базе блокчейн-технологий и ищет QA-инженера по нагрузочному тестированию в кросс-функциональную команду разработки платформы ЦФА Хаб. ЦФА Хаб — платформа для выпуска и обращения цифровых финансовых активов, объединяющая эмитентов и инвесторов. В 2023 году компания включена Банком России в реестр операторов цифровых финансовых активов. Технологический стек проекта включает микросервисную архитектуру, микрофронтенды, C#, .NET/.NET Core (4.7.1-8.0), Web API, EF, OAuth2.0, RabbitMQ, MassTransit (saga state machine, routing slips), REST API, MSSQL, PostgreSQL, React, blockchain (geth, besu, ipfs). Задачи: — Анализировать производительность и управлять уровнем качества в части нагрузки для крупной системы с ядром на базе blockchain. — Поддерживать и создавать новые нагрузочные тесты для JMeter. — Проводить полный цикл нагрузочного тестирования. — Подготавливать отчеты о проведенном нагрузочном тестировании. — Проводить анализ узких мест и оценку масштабируемости системы, формировать рекомендации для увеличения производительности. — Анализировать инциденты на production-контуре, связанные с деградацией производительности, и готовить заключения. — Управлять, поддерживать и развивать инструменты нагрузочного тестирования, интегрировать их в CI. — Взаимодействовать и координировать работу с разработчиками, аналитиками и DevOps. Требования: — Опыт в нагрузочном тестировании высоконагруженных систем более 3 лет. — Уверенное знание JMeter. — Практический опыт написания скриптов нагрузочного тестирования (JMeter, k6). — Опыт работы с инструментами CI/CD (GitLab, Jenkins, GoCD и др.). — Опыт работы со средствами мониторинга (Grafana, Zabbix, Prometheus, InfluxDB, ELK и др.). — Практический опыт написания скриптов на JavaScript, Python, Bash для генерации данных и пост-аналитики. — Уверенное понимание метрик нагрузочного тестирования. — Опыт работы с базами данных PostgreSQL (чтение pg_stat_statements, понимание Top-N запросов, план запроса на уровне узких мест) и MSSQL. — Хорошее знание SQL. — Понимание архитектуры клиент-серверных приложений. — Понимание микросервисной архитектуры. — Понимание жизненного цикла разработки ПО. Будет плюсом: — Опыт работы со средствами нагрузочного тестирования Yandex.Tank, k6, Locust, Gatling. — Опыт выстраивания процесса нагрузочного тестирования с нуля. — Опыт продвинутой диагностики: профилирование приложений, анализ Thread/Heap дампов, трассировка (Zipkin, Jaeger, Signoz и др.). — Владение инструментами анализа производительности Linux (top, iotop, htop, dstat, netstat, perf и др.) и Windows (PerfMon, ResMon, WPR, WPA, Event Viewer, PerfView). — Опыт с pgBouncer, connection pool, таймауты/лимиты на API-шлюзах. — Понимание предметной области цифровых финансовых активов. — Опыт работы в сфере финтех и/или с блокчейн-продуктами.

Компания МТС Банк развивает цифровые финансовые продукты и сервисы, разрабатывая ML/DS решения для системы принятия решений в розничных рисках. Требования: — практическая работа с профессиональными базами и/или хранилищами данных, SQL-программирование — владение языком программирования Python — опыт решения задач классификации и детектирования/сегментации, понимание метрик эффективности машинного обучения — знание в области прикладной статистики, математики, эконометрики Задачи: — строить модели вероятностей дефолта (PD) для продуктов: карты, кредит наличными, POS-кредит — строить модели для подразделения коллекшн - NextBestOffer, Uplift-модели — исследовать данные, оценка пользы и качества новых источников данных — исследовать новые подходы к моделированию с применением нейронных сетей — документировать процессы разработки математических моделей, паспорта модели, а также правил и условий для мониторинга — участвовать в тестировании при внедрении новой математической модели, а также при выводе модели из эксплуатации — развивать внутренние методики ML и обновлять ML-библиотеки на Python

Задачи: — Взаимодействовать с бизнес-заказчиками по вопросам сбора, анализа и формализации требований к данным — Настраивать автоматические проверки для выявления аномалий и дублей в базах данных — Координировать работы команд для исправления системных ошибок в данных — Участвовать в описании датасетов и настройке каталога данных — Заниматься формированием и ведением бизнес-глоссария — Создавать дашборды и отчеты в рамках практик Управления данными — Участвовать в создании внутренних политик и стандартов работы с данными — Взаимодействовать с командой разработки платформы данных — Участвовать в тестировании и приёмке готового функционала Требования: — Понимание принципов Data Governance: политики, стандарты, роли и ответственность — Знание концепций Data Quality, Data Lineage — Уверенный SQL — Знание/ опыт работы с Power BI, Qlik Sense или другим BI-инструментом Будет плюсом: — Знание Python — Опыт работы в области управления данными, аналитики или смежных ролях — Практический опыт работы с инструментами Data Catalog/ Data Quality Стажерский трек рассчитан на 6 месяцев по срочному трудовому договору под руководством опытного наставника.

Компания МТС Банк ищет специалиста на позицию ML/DevOps Engineer в Москве. Задачи: — деплоить и интегрировать модели, сопутствующие сервисы и инструменты, автоматизировать поставку и оптимизировать потребление ресурсов — мониторить и поддерживать работоспособность — обеспечивать соответствие политикам информационной безопасности и стандартам надёжности при развёртывании ML‑решений Требования: — уверенное администрирование Linux, понимание сетевых протоколов и потенциальных точек отказа — опыт конфигурации и распределения мощностей видеокарт для обучения и инференса моделей — опыт настройки мониторинга инфраструктуры и метрик деградации моделей — опыт работы с vllm, Triton Inference Server, FastAPI, KServe или TorchServe — опыт построения сложных многоэтапных пайплайнов с упором на безопасность Технологический стек включает Docker, Linux, Kubernetes, Bash, GitLab CI, Ansible, Terraform, Airflow, Python, vllm, cuda, triton, Prometheus/Victoria Metrics, Grafana, SQL, Postgres, Elasticsearch, MLflow, Qdrant, Nexus, Vault.